Perception Engineer

About this role

Responsibilities

• Design, train, validate, and fine-tune machine learning and deep learning models for object detection, classification, and segmentation.
• Integrate and fuse data from multi-modal sensors (RGB, thermal, LiDAR/ToF, IMU, encoders) to produce robust real-time Regions of Interest (ROIs).
• Research and implement image processing techniques for deconvolution, low SNR detection, and motion isolation.
• Collaborate with hardware teams to integrate and troubleshoot sensors (global-shutter and rolling-shutter cameras, thermal imagers, LiDAR/ToF modules, IMUs) over GigE Vision, USB3 Vision, CAN, SPI, and I²C protocols.
• Develop and debug embedded firmware in C/C++ (or Rust) for microcontrollers (STM32, NXP, TI) and FPGAs using VHDL/Verilog within RTOS environments (FreeRTOS, Zephyr).